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October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
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Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
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In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Constructing quasi-breathers in 𝛽-FPUT chain with the aid of genetic algorithm

Physics Letters A. 2026. Vol. 591. Article 131884.
Щербинин С. А., Корзникова Е. А., Дмитриев С. В., Murachev A. S.

In this work, a simple genetic algorithm (GA) is used to find and characterize different QBs in a 𝛽-FPUT chain. By considering the space of initial particle displacements as a global optimization landscape, GA maximizes the energy localization function by automatically evolving candidate states toward highly localized long-lived solutions without a priori symmetry assumptions. 200 QBs with an oscillation frequency higher than the phonon spectrum were obtained and the distributions of their parameters were analyzed. The distributions of the localization parameter, amplitude, and frequency have two peaks, which means that GA generates two groups of QBs with small and large values of these parameters. QBs are stationary or move with a symmetrical velocity distribution, so the probability that QB moves to the right or to the left is equal. Symmetric QBs, such as the Sievers-Takeno mode, can be obtained using a constrained GA search. This method can be easily extended to 2D and 3D lattices, offering an artificial intelligence pathway for designing energy localization in crystals, phononic, mechanical and metamaterial systems.

Research target: Physics
Language: English
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Keywords: генетический алгоритмнелинейная динамикаnonlinear dynamicsgenetic algorithmdiscrete breathersДискретные бризеры
Publication based on the results of:
Analytical and computer simulation of wave energy transfer at different length scales (2025)
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